4 ms·
I think it is worthwhile considering the multiple of the alternatives. That is, SERPs providing relevant discussion and exacting or largely turnkey solutions.
by bredren 3y ago
I think it is worthwhile considering the multiple of the alternatives.
That is, SERPs providing relevant discussion and exacting or largely turnkey solutions.
On “easy” tasks in technical niches I’m not familiar with, I would take gpt over DDG + SO the majority of the time.
I’ve had situations where I’m wanting a tutorial or walk through on something and mixing various sub stack and independent blog posts.
There is no consistency in quality or even correctness from those sources, while you must also deal with format and styling variation.
I block adtech within reason, but the problem of greyhat or SEO-focused filler also isn’t really a thing in gpt. You just get the fat of the land.
The biggest problem w gpt 4 is the cutoff date. The LLM needs to be updated regularly, the way Google initially seemed to crawl all the things and make them available to queries as they appeared.
Data recency and the ability to process excess tokens is going to show OP’s test as but a toy example of what the systems can do.
In the absence of constant updates of a massive model and all that entails, I foresee Companies temporarily dominating attention by providing pretrained LORA-like add-ons to LLMs at key events.
For example, Apple could release a new model trained on all of the updated Swift libraries coming to market at WWDC shortly after the keynote.
It can contain all the docs, example code and allow devs to really, really experiment and have warm and fuzzies on the newest stuff.
It could even include the details on product announcements and largely handle questions of compatibility.
If the companies hosted the topic focused chatgpt-like bots, they could also own all the unexpected questions, and both clarify and retrain on what the most enthusiastic users want to know.
This is going a bit of another direction, but I think all of this is very exciting and will hasten the delivery of software for brand new SDKs.
- zappchance 3y ago> The biggest problem w gpt 4 is the cutoff date. The LLM needs to be updated regularly, the way Google initially seemed to crawl all the things and make them available to queries as they appeared. Have you tried out Phind? It's essentially GPT-4 + internet access. It hasn't been perfect, but it's been a very useful tool for me.